基于随机游走模型的筒仓内颗粒流堵塞概率测量  

Jamming probability measurement of granular flow in silo based on random walk model

作　　者：王海涛 陈泉 李然[2] 修文正 杨晖[1] WANG Haitao;CHEN Quan;LI Ran;XIU Wenzheng;YANG Hui(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093 [2]上海理工大学健康科学与工程学院,上海200093

出　　处：《光学仪器》2022年第6期1-7,共7页Optical Instruments

基　　金：国家自然科学基金(11572201,91634202)。

摘　　要：随机游走模型能够准确预测筒仓内无摩擦颗粒系统的堵塞概率,但是对于有摩擦的颗粒系统,该模型的适用范围至今尚不清楚。搭建了基于面阵CCD相机的测量装置,通过图像法测量堵塞拱的特征参数,发现当堵塞拱上相邻两个颗粒的夹角与颗粒位置之间满足负线性关系,并且流量大于8.3 g/s时,随机游走模型可以准确预测筒仓的堵塞概率。实验结果拓展了随机游走模型的适用范围,为工业生产中筒仓装置的调控过程提供了参考依据。The random walk model(RWM) can accurately predict the jamming probability of frictionless granular system in a silo. However, the applicability of this theoretical model for systems with friction remains unclear. In this study, a measuring device based on array CCD cameras is built. The characteristic parameters of jamming arch are measured by image method. It is found that the random walk model can accurately predict the silo jamming probability when the mean angle between two adjacent granules is negatively linear with the granular position on the jamming arch and the mass discharge rate is greater than 8.3 g/s. The experimental results extend the application scope of the RWM and provide a reference for the control process of silo devices in industrial production.

关 键 词：颗粒流 筒仓 随机游走模型 堵塞概率 流量 

分 类 号：TN29[电子电信—物理电子学]